This dissertation used synthetic datasets, semi-synthetic datasets, and a real-world dataset from an educational intervention to compare the performance of 15 machine learning and multiple imputation methods to estimate the individual treatment effect (ITE). In addition, it examined the performance of five evaluation metrics that can be used to…

Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…

Special education assessment has a significant impact on the lives of children with disabilities and their families. However, traditional assessment practices have been critiqued as being deficit-based, overly focused on "labeling" students, and failing to provide a holistic understanding of the student. Assessment models such as…

This dissertation contributes to the discussion of what contributes to school district rankings in the state of Ohio. It uses Latent Profile Analysis to explore different variables at the contextual and district level as they correspond to Ohio's Performance Index academic measure and Value-Added academic measure. Results show that contextual…

Once research questions are posed, researchers must answer many a priori questions regarding research design before analysis can be performed and any conclusions can be made, including sample selection criteria, data collection method, model specification, analysis and estimation technique. The choices made by researchers along this forking path…

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

This paper explores how the charter school sector evaluates the success of specialized education programs in order that the Nature School can learn from these best practices and develop its own framework. The researcher conducted in-depth interviews with five evaluation experts and eight diverse charter school authorizers overseeing a significant…

The observation and supervision of New Jersey educators stand as a critical professional component to ensure that school staff is provided with timely feedback about their performance and recommendations and support for continual improvement. As a result of the TeachNJ Act (2012), efforts were made to formalize this process across New Jersey's…

The purpose of this study was to conduct a program evaluation case study on the impact of standards-based grading in a North Carolina school district. The implementation procedures and end products of grading reform were assessed using the CIPP model. Data from teacher questionnaires, principal implementation checklists, interviews, and…

The purpose of this study was to explore how evaluators justify using story-based methodologies when examining causality. The two primary research questions of the study included: 1) what arguments are made by evaluators to justify the credibility of story-based causal methodologies to evaluation stakeholders; and 2) from the perspective of…

One of the many impacts of the COVID-19 pandemic has been the increasing prevalence and accessibility of online education. This trend has also introduced challenges for students, instructors, and institutions. This study examines factors affecting online course satisfaction, focusing on individual, instructor, and institutional level…

In this dissertation, we propose a computer-supported method, called insightful learning systems, for tracking student progress that yields human actionable insights. We cover our theories, experiments and applications that aim to pave the way for more effective understanding of student progress, in key skills for a course, by looking at students…

This case study was an exploration of how sport coaches, teachers, instructional coaches, and administrators use video analysis to improve performance. The study helped to reveal the usage of video analysis and its perceived advantages and barriers. The case study helped to determine frameworks for practical use by school districts or individual…

Entrustable professional activities (EPAs) and their corresponding entrustment supervision (ES) scales are an innovative education assessment model to provide authentic assessment and growth of health professions education learners. The overall goal of this work is to gain insight into the utility of an EPA framework for assessment within pharmacy…

Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…